Top Machine Learning Jobs in Vancouver

The Fractional CTO will lead AI-focused projects, manage technical teams, and guide startups in technology development and strategic planning.

Lead the development and implementation of quality strategies for machine learning systems. Collaborate across teams to enhance product quality and monitor effectiveness.

The Applied Scientist will drive technical decisions, automate ML workflows, collaborate with customers, and develop production-ready solutions based on research and product needs.

As a Machine Learning Engineer, you will research automating ML workflows, collaborate on product development, and support customer needs with technical solutions.

The Sr. Machine Learning Engineer/Data Scientist will develop machine learning models, drive data-driven decisions, mentor others, and lead strategic projects in eCommerce.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The role involves provisioning and testing Ciena's solutions, developing documentation, leading technical sessions, and customer engagement to ensure product readiness and enhancements.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.

As a Senior Machine Learning Engineer, you will design and implement machine learning algorithms, build models, evaluate performance, and guide junior engineers to enhance AI functionalities across Atlassian products.

The Senior Machine Learning Modeler will develop machine learning solutions to assess financial crimes risk, collaborate with teams, and drive innovation in financial crime detection.

Drive risk management by building end-to-end AI/ML solutions, collaborating with cross-functional teams, and optimizing operations at Square.

Lead the design and implementation of AI-driven forecasting and financial modeling systems, collaborating across teams to enhance decision-making and operational reliability.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Lead the credit strategy and risk management at Prime, developing credit policies and procedures, managing relationships, and overseeing credit lifecycle using data analytics and machine learning.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Develop and grow machine learning products, lead design and integration of AI models, mentor engineers, and drive large-scale projects in a collaborative environment.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

The Staff Machine Learning Engineer will develop AI infrastructure, apply advanced machine learning techniques, mentor junior engineers, and enhance productivity and customer impact at Coinbase.

Develop machine learning models to prevent risky or abusive activities in financial transactions, ensuring a secure user experience for families using Cash App.